AN EFFICIENT QUANTIZATION TECHNIQUE FOR WAVELET COEFFICIENTS OF FINGERPRINT IMAGES

In this paper, a novel quantization scheme for the wavelet coefficient s is introduced. Using the wavelet packet transform (WPT) and lattice vector quantization (LVQ), we present here a new lattice optimization scheme based on an accurate model for the distribution of the wavelet coefficients. The model is based on the generalized gaussian distribut ion (GGD). A least squares algorithm on a non-linear function of the s hape parameter is formulated to estimate the model parameters. The pro posed algorithm adapts to non-stationarity in input images and to give n bit rates. Compared to other wavelet-based algorithms, the technique proposed here results in higher reconstructed image qualities for ide ntical bit rates. (C) 1997 Published by Elsevier Science B.V.